Basic Information on moscsdi

Task: moscsdi
Purpose: Mosaic Complex Steer CLEAN algorithm
Categories: deconvolution

        MOSCSDI is a MIRIAD task that performs a Complex Steer CLEAN on
        mosaiced Q and U images or cubes. This follows the CSDI MIRIAD task,
        but adapted for a mosaic, see the help for this task for more
        information.
 
        Full details of the algorithm are found in:
        Pratley & Johnston-Hollitt, "An improved method for polarimetric
        image restoration in interferometry", MNRAS, 2016. ArXiv: 1606.01482.
        Please acknowledge this work in publications using the code.
 

Key: map
        The input Q and U dirty map, which should have units of Jy/beam
        No default.

Key: beam
        The input dirty beam. No default

Key: model
        An initial Q and U model of the deconvolved image.
        The default is 0.

Key: out
        The name of the Q and U output map.
        The units of the output will be Jy/pixel.

Key: gain
        CLEAN loop gain. The default is 0.1.

Key: niters
        The maximum number of iterations. The default is 100.

Key: cutoff
        Iterating stops if the absolute maximum residual falls below
        this level.  The default is 0. It is recommended that the
        cutoff is 3 times the rms noise of Stokes Q or U.

Key: clip
        This sets the relative clip level.  Values are typically 0.75 to
        0.9.  The default is 0.9.

Key: region
        The standard region of interest keyword.  See the help on
        region for more information. The default is the entire image.
 
Revision: 1.2, 2018/11/29 23:30:11 UTC